| 37.84% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 6 | | adverbTags | | 0 | "His voice wrapped around [around]" | | 1 | "The lie came easily [easily]" | | 2 | "He stopped just [just]" | | 3 | "Lucien's hand rose hesitated then [then]" | | 4 | "Rory said finally [finally]" | | 5 | "She swallowed hard [hard]" |
| | dialogueSentences | 74 | | tagDensity | 0.365 | | leniency | 0.73 | | rawRatio | 0.222 | | effectiveRatio | 0.162 | |
| 76.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1943 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "slightly" | | 1 | "truly" | | 2 | "perfectly" | | 3 | "very" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 45.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1943 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "silence" | | 1 | "stomach" | | 2 | "intensity" | | 3 | "flicked" | | 4 | "navigated" | | 5 | "measured" | | 6 | "flickered" | | 7 | "calculated" | | 8 | "pulse" | | 9 | "tension" | | 10 | "warmth" | | 11 | "otherworldly" | | 12 | "calculate" | | 13 | "trembled" | | 14 | "charged" | | 15 | "firmly" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 163 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 57 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1948 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1312 | | uniqueNames | 16 | | maxNameDensity | 1.22 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 6 | | Moreau | 1 | | London | 1 | | Lucien | 16 | | French | 1 | | Southwark | 1 | | Golden | 1 | | Empress | 1 | | Ptolemy | 4 | | Rory | 7 | | Old | 1 | | Lesser | 1 | | Key | 1 | | Solomon | 1 | | Avaros | 1 | | Silence | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Ptolemy" | | 4 | "Rory" | | 5 | "Solomon" |
| | places | | | globalScore | 0.89 | | windowScore | 0.833 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite a smile" | | 1 | "quite believe it wasn't a trap" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1948 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 163 | | matches | | 0 | "chose that moment" | | 1 | "gotten that scar" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 22.65 | | std | 20.78 | | cv | 0.917 | | sampleLengths | | 0 | 24 | | 1 | 64 | | 2 | 3 | | 3 | 68 | | 4 | 27 | | 5 | 11 | | 6 | 45 | | 7 | 17 | | 8 | 22 | | 9 | 31 | | 10 | 32 | | 11 | 8 | | 12 | 4 | | 13 | 60 | | 14 | 9 | | 15 | 10 | | 16 | 10 | | 17 | 22 | | 18 | 4 | | 19 | 40 | | 20 | 22 | | 21 | 26 | | 22 | 3 | | 23 | 48 | | 24 | 19 | | 25 | 4 | | 26 | 56 | | 27 | 9 | | 28 | 10 | | 29 | 14 | | 30 | 17 | | 31 | 3 | | 32 | 7 | | 33 | 36 | | 34 | 2 | | 35 | 59 | | 36 | 7 | | 37 | 14 | | 38 | 3 | | 39 | 2 | | 40 | 65 | | 41 | 27 | | 42 | 10 | | 43 | 4 | | 44 | 2 | | 45 | 37 | | 46 | 6 | | 47 | 25 | | 48 | 24 | | 49 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 118 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 229 | | matches | | 0 | "was willing" | | 1 | "was looking" | | 2 | "was pulling" |
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| 55.21% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 163 | | ratio | 0.031 | | matches | | 0 | "Close enough that she could smell the rain on him, the faint undertone of something darker beneath — smoke and old libraries and that particular scent that clung to anyone who'd spent too long walking between worlds." | | 1 | "His mismatched eyes — one amber, one black as a moonless sky — swept over her face with an intensity that made her want to step back." | | 2 | "The moment when Lucien had stepped between her and something with too many teeth and eyes that burned like dying stars, and she'd realized — truly realized — what he was willing to lose for her." | | 3 | "This — this rawness — was new." | | 4 | "The blood that ran through Lucien's veins, making him something more — and less — than human." |
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| 86.09% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1306 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 73 | | adverbRatio | 0.055895865237366005 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.013016845329249618 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 163 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 163 | | mean | 11.95 | | std | 10.6 | | cv | 0.887 | | sampleLengths | | 0 | 17 | | 1 | 4 | | 2 | 3 | | 3 | 20 | | 4 | 22 | | 5 | 22 | | 6 | 3 | | 7 | 25 | | 8 | 25 | | 9 | 8 | | 10 | 10 | | 11 | 6 | | 12 | 14 | | 13 | 4 | | 14 | 3 | | 15 | 6 | | 16 | 3 | | 17 | 2 | | 18 | 8 | | 19 | 37 | | 20 | 17 | | 21 | 16 | | 22 | 6 | | 23 | 27 | | 24 | 4 | | 25 | 28 | | 26 | 4 | | 27 | 8 | | 28 | 4 | | 29 | 14 | | 30 | 4 | | 31 | 6 | | 32 | 36 | | 33 | 9 | | 34 | 8 | | 35 | 2 | | 36 | 6 | | 37 | 4 | | 38 | 18 | | 39 | 4 | | 40 | 4 | | 41 | 16 | | 42 | 24 | | 43 | 6 | | 44 | 16 | | 45 | 9 | | 46 | 17 | | 47 | 3 | | 48 | 13 | | 49 | 35 |
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| 46.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3312883435582822 | | totalSentences | 163 | | uniqueOpeners | 54 | |
| 98.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 102 | | matches | | 0 | "Then three more." | | 1 | "Then the second." | | 2 | "Then Lucien laughed." |
| | ratio | 0.029 | |
| 63.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 102 | | matches | | 0 | "She stepped over a precarious" | | 1 | "Her stomach dropped." | | 2 | "He wore charcoal, as always," | | 3 | "His ivory-handled cane hung from" | | 4 | "She could pretend she wasn't" | | 5 | "He always knew." | | 6 | "Her fingers found the first" | | 7 | "His voice wrapped around her" | | 8 | "His mismatched eyes — one" | | 9 | "She held her ground." | | 10 | "He tilted his head slightly," | | 11 | "She'd been avoiding the Golden" | | 12 | "she said, not answering" | | 13 | "She stepped aside." | | 14 | "He navigated Eva's disaster of" | | 15 | "Her mother had drilled hospitality" | | 16 | "It wasn't a question" | | 17 | "She didn't turn around." | | 18 | "He stood in the middle" | | 19 | "His expression didn't change." |
| | ratio | 0.392 | |
| 23.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 102 | | matches | | 0 | "The knock came at half" | | 1 | "Rory set down the cup" | | 2 | "Ptolemy lifted his head from" | | 3 | "She stepped over a precarious" | | 4 | "Her stomach dropped." | | 5 | "Lucien Moreau stood in the" | | 6 | "He wore charcoal, as always," | | 7 | "Water beaded on his shoulders," | | 8 | "His ivory-handled cane hung from" | | 9 | "She could pretend she wasn't" | | 10 | "The thought crossed her mind," | | 11 | "He always knew." | | 12 | "Her fingers found the first" | | 13 | "The door swung open, and" | | 14 | "His voice wrapped around her" | | 15 | "The correction came automatic, a" | | 16 | "His mismatched eyes — one" | | 17 | "She held her ground." | | 18 | "He tilted his head slightly," | | 19 | "The question hung between them," |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 102 | | matches | (empty) | | ratio | 0 | |
| 51.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 5 | | matches | | 0 | "Lucien Moreau stood in the narrow hallway, platinum hair catching the flickering light of the single bulb that had been threatening to die for weeks." | | 1 | "Close enough that she could smell the rain on him, the faint undertone of something darker beneath — smoke and old libraries and that particular scent that clun…" | | 2 | "His mismatched eyes — one amber, one black as a moonless sky — swept over her face with an intensity that made her want to step back." | | 3 | "Behind her, she heard the soft tap of Lucien's cane against the floorboards as he moved, examining Eva's shelves with the casual interest of someone who'd seen …" | | 4 | "His cane clicked against the floor, a measured rhythm that matched the hammering of her pulse." |
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| 50.93% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 4 | | matches | | 0 | "His voice wrapped around, that French accent softening the consonants" | | 1 | "The correction came, a reflex built over months of trying to create distance" | | 2 | "she said, not answering" | | 3 | "Lucien's mouth curved, not quite a smile" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "She pressed (press)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 74 | | tagDensity | 0.135 | | leniency | 0.27 | | rawRatio | 0.2 | | effectiveRatio | 0.054 | |